BIBLIOMETRIC ANALYSIS OF RESEARCH ON ARTIFICIAL INTELLIGENCE APPLICATIONS IN MUSIC EDUCATION

With the rapid development of technology, artificial intelligence is impacting every aspect of our lives. Education is one of the areas where artificial intelligence (AI) is used. Integrating AI into education enriches the educational environment and makes learning enjoyable. It also increases students' interest and motivation. Artificial intelligence applications in music education can be used to create learning environments tailored to students' needs, find and play appropriate musical pieces, and create new songs. Furthermore, AI can be used in instrument playing, performance evaluation, and providing feedback. In this context, it can be argued that AI applications in music education contribute to effective learning and simplify the teacher's work. This research aims to systematically examine the trends in research on artificial intelligence in music education through bibliometric mapping analysis. By visualizing the conceptual structure and intellectual connections in music education, it aims to provide a comprehensive overview of how AI is gaining ground in music education research. Vosviewer, a software integrated with Web of Science, was used to visualize and analyze large data sets in the bibliometric mapping process. Scientific articles that met the criteria were examined for year of publication, country of publication, authors, citation performance, frequently used keywords, and the most commonly used terms in their abstracts. The data obtained were discussed in light of research findings in the literature. © 2025, Tolga Karaca. All rights reserved.